The Virtual Care Climate Questionnaire
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1 The Virtual Care Climate Questionnaire Development and validation of a questionnaire measuring perceived support for autonomy in a virtual care setting Eline Smit, Alexandra Dima, Stephanie Immerzeel, Bas van den Putte & Geoffrey Williams CBC Digital Health Conference February 23,
2 Background Autonomous motivation 1 Established by support for autonomy Measurable by questionnaires Health Care Climate Questionnaire (HCCQ) 2 & Perceived Autonomy Support in Exercise Settings (PASSES) 3 Health care provider internet intervention 1 Ryan & Deci, 2000; 2 Williams et al., 2002; 3 Hagger et al.,
3 Background? My physician listens to how I would like to do things 3
4 Methods Development & validation of the VCCQ = Virtual Care Climate Questionnaire 1. Item development 2. Pre-testing 3. Psychometric validation
5 Methods Step 1. Item development Based on: HCCQ My physician has made sure I really understand about my condition and what I need to do (HCCQ) Because of <name intervention> I really understand what I need to do to <target behaviour> (VCCQ)
6 Methods Step 1. Item development Based on: HCCQ (15 items) PASSES (2 items) Expert input (2 items) Initial, 19-item VCCQ
7 Methods Step 2. Pre-testing Pre-testing Experts (N=5) Dutch adults (N=5) Final, 23-item VCCQ
8 Methods Step 3. Psychometric validation Study 1: Alcohol Online survey among Dutch adults (N=233) Recruitment through PanelClix Scenario ( 4 ) Study 2: Cannabis Online survey among Dutch students (N=228) Recruitment through the UvA student pool Scenario ( 4 Boon et al., 2011.
9 Methods Step 3. Psychometric validation NIRT analyses (Mokken Scale Analysis; MSA) Unidimensionality Local Independence Monotonicity Invariant Item Ordering Factor analysis & reliability analysis (several fit indices, α, ω) Construct validity analyses Convergent validity: autonomous motivation, PC Divergent validity: controlled motivation, PC for learning (study 2)
10 Results Study 1: Alcohol IRT Analysis: exclusion of 3 items Violations of unidimensionality: 1 item Violations of local independence: no items Violations of monotonicity: no items Violations of invariant item ordering: 2 items Resulting 20-item VCCQ
11 Results Study 2: Cannabis IRT analysis: exclusion of 7 items Violations of unidimensionality: 4 items Violations of local independence: no items Violations of monotonicity: no items Violations of invariant item ordering: 3 items Resulting 16-item VCCQ Proceeded with 15-item VCCQ
12 Results Study 1: Alcohol Factor analysis: CFI=.897, TLI=.879, RMSEA=.128 Reliability analysis: α=.97, ω=.97 Construct validity o o Convergent validity autonomous motivation: r=.66*** PC for reducing alcohol consumption: r=.52*** Divergent validity controlled motivation: r=.29***
13 Results Study 2: Cannabis Factor analysis: CFI=.902, TLI=.885, RMSEA=.087 Reliability analysis: α=.92, ω=.92 Construct validity o o Convergent validity autonomous motivation: r=.37*** PC for reducing cannabis intake: r=.01 ns Divergent validity controlled motivation: r=.37*** PC for learning:.05 ns
14 Discussion IRT suggests a 15-item VCCQ Items from HCCQ, PASSES & expert input Excellent reliability Convergent validity quite good
15 Discussion Divergent validity reasonable Future research needed with other hypothesized unrelated constructs Application to alcohol & cannabis intake Future research may focus on other (non-addictive) behaviors
16 Take home message The VCCQ is the to our knowledge first questionnaire measuring perceived support for autonomy in a virtual care setting The first 15-item version appeared reliable and reasonably valid and is available upon request both in English and Dutch
17 Thank you for your attention! Questions?
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